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https://hdl.handle.net/10356/176288
Title: | Implementing LiDAR-based SLAM algorithms for enhanced mapping and localization in physical robots | Authors: | Ang, Ken Huat | Keywords: | Engineering | Issue Date: | 2024 | Publisher: | Nanyang Technological University | Source: | Ang, K. H. (2024). Implementing LiDAR-based SLAM algorithms for enhanced mapping and localization in physical robots. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176288 | Project: | A3265-231 | Abstract: | This study investigates SLAM techniques to overcome challenges in feature scarcity, computational load, and motion-induced distortions for autonomous mobile robots. Three SLAM algorithms are tested for LiDAR-inertial odometry, with FAST-LIO emerging as the recommended choice. Leveraging Livox MID-360 LiDAR, the study aims to enhance localization and situational awareness, expanding the practical applications of autonomous robots and UAVs. | URI: | https://hdl.handle.net/10356/176288 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
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File | Description | Size | Format | |
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FYP_Report_ANG_KEN_HUAT_1.pdf Restricted Access | 11.28 MB | Adobe PDF | View/Open |
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